this really shows why knowing your data matters. louis ck's acts are generally depressing, not positive, but the textblob analysis doesn't catch sarcasm. mike's acts are also generally not upbeat.

Hey, time stamps for the examples?

This lecture would be better if authors transcribed questions cause they are totally lost.

excellent : Sentiment(polarity=1.0, subjectivity=1.0) 😉

This tutorial was super, Thank's alot. any one want to help me in research proposal.

Amazing!

I don't know if anyone faced this issue but "(class_ = "post-content")" @ 35:00 doesn't work anymore. The scrapsfromtheloft.com website now shows "(class_ = "ast-container")" and making this change worked for me.

Thank you Alice: I've learned more about how to think like a data science in this one video than I ever did on the job

Agreed .. I've been watching a couple of NLP tutorials for about a week and this one is the most satisfying one yet

This contents truly helped me!

Is it better to use pickle vs just saving df's into csv files to be read back later? Why or why not?

She is an amazing teacher, what a great lecture ;)

good

Excellent video ! She is a great teacher !!!

Interesting and Useful material presented lucidly. Thanks a lot Alice

Found this in 2021. Great lecture!!

Very good lecture. Can you send me the link of slides use in this tutorial.

1:08:02

Beautiful love u.

Amid my relaxation in a seabeach of tranquility, a cough wave came and washed my sandcastle away.

It would be helpful if there was some idea of how long these processes take—writing the code, then running the programs. I imagine it takes quite a while to spend time on each word, e.g. in LDA.

This session made me realise NLP might be my niche. Also, what a great instructor to have introduce it to me! 💛💛💛

Now I know what I'm going to do on my research.... Thank you enlighten me

Excellent!

Can anybody tell me if there's a change in the code at Git, I am not able to work on it.

naah, its working just fine. I had some glitches tho. working on it.

One of the best presentions I have seen in my lifetime! (and I have seen a lot) Clear, simple and to the point! Thanks

How can I get the presentation file?

Very useful and you make seem all simple!

How to clean data for pdf files?

Poor dog I liked my own commet how sad.

Could i get the code? my email is :emrul.phy@gmail.com. Thanks

Best resource i have been studying Data science. Just loved it! Thanks for the nice presentation

Great class! Thank you!

MY SЕХ LOVE.

OMG! By far, the best 2 hrs that I've spend in YouTube in the last years... On behalf of this Data Scientist "in progress", Thank you so much for posting this content.

Excellent teacher with deliberate and relaxed teaching style!!! and wish if every teachers be like you. Thanks for giving such a tidy lecture.

Very useful video for NLP learners! Highly recommended!

Easy to follow training !!

Thanks for this wonderful lecture.

This is gold, thank you a lot!

https://www.youtube.com/watch?v=v_U8h2sNIDw

This is so cool, and it is very helpful.

Hi, May I find the slides somewhere?

just amazing ... this 2 hr video felt like a 20 min video .... so much concept , well detailed ... totally worth it

Top explination ever seen!!

Wow! This was incredible. Thanks for doing this in an approachable and concise way.

Alice is so pleasant to listen to. Enjoyed this presentation a lot. super helpful.

You're a brilliant teacher. So, so helpful.

Im in the danger zone 🤷🏼

Chinese everywhere ! where is TRUMP ?

Ms. Alice, after watching this lecture in my home office I stood up and applauded as if I watched a piece of art or an amazing movie. Thank you.

In the step load pickle file. It is showing error2- no such file or directory. I have used the exact data she is using than also it's giving this error y so. Please do let me if anyone know.

Hi... Thank you for your wonderful session. I am new to NLP. I have a dataset, which has 5000 records/samples with targets. For every (or less than)10 records, there is one Target/class. In other words, there are 500 targets/classes approximately for 5000 samples. Besides, each target/class is multiple words (like a simple sentence). I really seek your advise/help in building a (NLP) model using the data set with this kind of target. Thank you.

https://youtu.be/EEYwJAlMoTc

All the people after Topic Modelling when she said "I'm running out of time", who then proceeded to waste her time by asking a ton of questions, are the worst kind of people in lectures.

Super good!

very good RE for any programming language i used it during PERL programming

love the comedian examples. really easy to understand.

Don’t give up so quick, online trading has been working out for me. I decided to share this because I want others to benefit from this opportunity, I strongly recommend this manager to those that look for a stable system..You can contact him via Instagram page @fx_with_jake_dollery

very nice thanks a lot keep it up.

Throw him out of the class

https://www.youtube.com/watch?v=LqpgGfCv3d8

All coding aside Ricky Gervais unquestionably is the best comedian amongst all

This video is amazing! I really, really like how she goes through the cleansing process because data is almost never cookie cutter like we want it to be. Loved seeing all the steps laid out so methodically.

Thanks a lot

Thor

The trainer is really awesome, very knowledgeable I blessed to check your class Thank you, Alice, for such an incredible session

Excelente presentacion.

audience members who ask questions during a talk should be bullied into silence

Great Speaker and Explanation...would love to learn more from you.

This is better than one semester NLP course I took.

there's a lot of good courses on the internet that are on the level of a college course!

I Have A Idea , Maybe A Dumb , But every conversation depends on previous topic or previous talk , so we need to compare current talk with previous to get more accurate results ?? Dumb Or Good?

Very clear lesson. Incredibly useful. I can’t thank you enough. Really saw the power of data science using the stuff in this tutorial. Thank you!!!

Thank you very useful.

thanks

9:56 yeeeehhhhhhhhh!!!!

idk why i just watched this . i started watching vids to study for my java exam and ended up here . congrats on this presentation it was really interesting and insightful

Brilliant Tutorial, tnx for sharing. Any updates to consider since this recording ? Is it still valid ? Kindly suggest.

one of the best videos !!! so insightful

As an Asian your life motto meant a lot to me, thank you for reminding me to let go of perfectionism because she doesn't exists :)

Great speaker - enthusiastic, clear, cogent, engaging, and above all interesting. Superb.

The Best Video to get you started with NLP

It's been a pleasure learning from this lecture. I am trying to figure out how to work with large text files (judgments) for my thesis project and wish I had more guidance like this along the way as a beginner in the area, most of the material I found before this starts with a corpus and I'm there trying to figure out what exactly that is and how to make my dataset into it. Thank you!

This was amazing and helpful. thanks.

By removing punctuation and capitals, you sometimes change the meaning of the text. When will we eat, Honey? when will we eat honey

Hi, can you share the slide of presentation ? Thanks

1:02:12 Bo Burnham with "repeat" and "stuff" in the top words and next to each other. I can die in peace!

Very Good!

Great tutorial, l really enjoyed it. thanks for sharing

Very Great Tutorail to strart NLP good explanation

Very good tutorial. I learned a lot. Thanks so much.

8:50 I didnt come here to be attacked

This is an amazing and really helpful tutorial, thank you!

I don't think of doing sentiment analysis on the comment section of this video. I don't think I can find any negative reviews :) Thank you, Alice!!

Hello Alice, please cover other AI ML topics too as I like most of your explanation and examples you present are unique.

Alice - this was fantastic, thank you!

clap clap clap

Is the code available ?

I'm a bit confused by her use of regular expressions around 41:00. The 1st and 3rd expressions make sense, but the second ('[%s] % re.escape(string.punctuation), '', text) is a bit confusing. It looks like %s is a scanf() token, not a regular expression and I'm not sure why she switches between regex and scanf() format. Can anyone explain why this is advantageous?

Nice talk, but in the exploratory data analysis (at 1:03), to determine the size of each comedian’s vocabulary, the presenter Alice Zhao should have normalized the comparison by dividing the number of each comedian’s unique words by the total words in the corresponding stand-up routine. In doing so, she would have seen that her favorite Ali Wong had the highest percentage at 41%, followed closely by Bo Burnham at 40%. All the others were at or below 33%. In other words, based on their vocabulary, Ali and Bo are probably the most literate (intelligent) of the comics. Also Ali’s name is similar to Alice, another factor that may explain the speaker’s affinity to her.

Alie Zhao - great tutorial. Thanks